code: def __init__(
      self,
      inp,
      out,
      kernel_size=3,
      padding=1,
      stride=1,
      bias=False,
      dilation=1,
  ):
      super(LayerTest, self).__init__()
      self.conv = nn.Conv1d(
          inp,
          out,
          kernel_size=kernel_size,
          padding=padding,
          stride=stride,
          bias=bias,
          dilation=dilation,
      )
  
file_path: pytorch2keras/tests/layers/convolutions/conv1d.py
imports: import numpy
  import torch
  import torch.nn
  from torch.autograd import Variable
  from pytorch2keras.converter import pytorch_to_keras
label_desc: Use image node_id 1 to create a new LayerTest object from inherited base classes: nn with example: obj = LayerTest(inp, out, kernel_size, padding, stride, bias, dilation)